Florida Power & Light Company

Andrew Wright Kirby

Lakshmi R Penmetsa

Iliana Maria Rentz

Adam David Meranda

Giovanni Herazo

Jeffrey D Dubs

Andres Gomez

Paul R Hynes

Yinuo Du

Justin D Klocman

Eric Westover

Vijin Vallelil

Robert A Baker

Kirk Suscella

Jacob Benator

Timothy D Drum

Michelet Orange

Clive K C Leung

Nerva Kenol

Benny P Pazhayattil

Charles E Orr

Steven J Palmieri

David L Herlong

Brick Rule

William M Dorr

Eduardo R Devarona

Jon Grove

A defect detector can receives voltage data characterizing a three-phase voltage for each of a plurality of feeder lines. The defect detector generates an alert indicating that a potential defect exists at a switch upstream of the plurality of feeder lines in response to the voltage data indicating (i) a drop in two or more phases of voltage at a given feeder line of the plurality of feeder lines occurred within a predetermined amount of time of toggling of the switch or (ii) a drop in two or more phases of voltage on at least two or more feeder lines of the plurality of feeder lines has occurred.

Defect detector in power distribution system

A storm damage response system includes a storm ensemble database that stores ensemble forecast models associated with respective potential storm paths of a given storm across a geographic area and an equipment database that stores equipment data associated with location and characteristics of power-providing equipment in the geographic area. A storm damage model algorithm generates a storm response plan comprising an operational procedure for repairing or maintaining power transmission and distribution electric systems to mitigate storm damage impact based on generating a probabilistic model for each of the ensemble forecast models based on the equipment data and calculating a statistical impact value associated with the probabilistic model based on an aggregate of iterative probabilistic simulations for the respective ensemble forecast model. The storm response plan can be generated based on the relative statistical impact value of the probabilistic model of each of the ensemble forecast models.

Ensemble forecast storm damage response system for critical infrastructure

A system and method is disclosed for using AMI smart meter messaging types and data mining decision trees to determine if local equipment failure is present. The system and method may be used to predict impending failure based upon smart meter message behaviors and to create proactive investigation tickets. The predictions models may be generated from a database of smart meter messaging and customer outage reports. The system and method can be applied to detect failures of higher level device equipment and may be incorporated into customer service processes. The system and method may also be used to determine customer owned equipment failures for referral to electricians.

Outage prevention in an electric power distribution grid using smart meter messaging

Systems and methods to detect Automatic Lateral Switch operations. Power down reports indicating power went down at a subset of reporting power meters during a time duration is received, at a monitoring facility. The plurality of reporting power meters receive power from a lateral power feed receiving power through an Automatic Lateral Switch. A respective power restore report indicating power is restored at the respective reporting power meter is received within a recovery time duration after receiving each respective power down report. Based on receiving the respective power restore report within the recovery time duration, an occurrence of an Automatic Lateral Switch operation which includes operating contacts providing power to the lateral power feed by the contacts opening and remaining reclosed is determined. Based on determining the Automatic Lateral Switch operation, an indication of the Automatic Lateral Switch operation is stored into a database system.

Lateral disturbance detection and remote tracking of automatic lateral switch operations

A system, an alternative system, and a computer readable storage medium, for a power outage notification system that proactively manages communication of power outage alerts messages to customers of a power distribution system. Wireless communications between smart meters at the edge of an electrical power distribution network and a proactive outage alerts processing engine at an outage alerts notification information processing system facilitate management of communications of power outage alerts messages to customer communication devices. Power outage alerts messages can be communicated to customers using email messaging, text messaging, and voice mail messaging.

Proactive power outage alerts management system and methods

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Jupiter, FL, United States of America

Andrew Wright Kirby